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Record W4401268635 · doi:10.5040/9798400622304

Bullying

2007· book· en· W4401268635 on OpenAlexaboutno aff
Neil A. Duncan, Valerie E. Besag, Ian Rivers

Bibliographic record

VenuePraeger eBooks · 2007
Typebook
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Addressing the issue from three perspectives: the student, the teacher, and also the parent or family member, this work provides background information, advice and resources about the causes and nature of school bullying along with strategies to address the behavior successfully. It utilizes both qualitative and quantitative evidence illustrating the impact bullying has upon the lives of families, students, and teachers. It provides case examples of the experiences of individual students, teachers, and parents. It concludes with a summary of key points and considerations in the development of interventions that tackle this varied form of behavior in school. Bullying: A Handbook for Educators and Parentsoffers a comprehensive exploration of the bullying within public schools, drawing upon research conducted in the United States, United Kingdom, Scandinavia, and Canada. It offers insights into the immediate and long-term impact bullying can have upon the lives of students, their families, and teachers. It offers parents useful tips for working proactively with school administrators to resolve bullying issues, and it provides teachers with materials that facilitate a better understanding of the social dynamics of the classroom, hallways, and playground. In addition, the handbook offers administrators a quick, no-nonsense guide to recent state and federal statutes, directives, and legislation relating to bullying and antisocial behavior in grades K-12. The book is divided into four sections providing a review of research on bullying behavior and an understanding of the dynamics of the classroom through the media of sexual bullying, homophobic bullying, and the challenges faced by parents of students who have special needs. Guidance is offered on the immediate and long-term effects of bullying and ways in which parents can engage proactively with schools to ensure that their child is supported in finding a way out. Finally, the authors ask key questions that parents and educators should consider when working to stop bullying in schools.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.072
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0720.024

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.307
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2007
Admission routes1
Has abstractyes

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